COMPREHENSIVE COVERAGE OF NONLINEAR PROGRAMMING THEORY AND ALGORITHMS, THOROUGHLY REVISED AND EXPANDED
Nonlinear Programming: Theory and Algorithmsnow in an extensively updated Third Edition addresses the problem of optimizing an objective function in the presence of equality and inequality constraints. Many realistic problems cannot be adequately represented as a linear program owing to the nature of the nonlinearity of the objective function and/or the nonlinearity of any constraints. The Third Edition begins with a general introduction to nonlinear programming with illustrative examples and guidelines for model construction.
Concentration on the three major parts of nonlinear programming is provided:
Important features of the Third Edition include:
The book is a solid reference for professionals as well as a useful text for students in the fields of operations research, management science, industrial engineering, applied mathematics, and also in engineering disciplines that deal with analytical optimization techniques. The logical and self-contained format uniquely covers nonlinear programming techniques with a great depth of information and an abundance of valuable examples and illustrations that showcase the most current advances in nonlinear problems.
A self-contained text/reference dealing with convex analysis, optimality conditions and duality, and computational methods--presented with numerical examples, graphical illustrations, and exercises. Useful as a reference for topics in nonlinear programming and as a text in the fields of operations research, management science, industrial engineering, and applied math, and in engineering disciplines that deal with analytical optimization techniques. Requires some mathematical maturity and a working knowledge of linear algebra and calculus. Annotation c. Book News, Inc., Portland, OR (booknews.com)